text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
#/bin/bash
pytest . $@ | milvus/tests/python_client/run.sh/0 | {
"file_path": "milvus/tests/python_client/run.sh",
"repo_id": "milvus",
"token_count": 12
} | 1,979 |
from langchain.schema.cache import __all__
EXPECTED_ALL = ["BaseCache", "RETURN_VAL_TYPE"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_cache.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_cache.py",
"repo_id": "langchain",
"token_count": 66
} | 651 |
[tool.poetry]
name = "rag-opensearch"
version = "0.0.1"
description = "RAG template for OpenSearch"
authors = ["Kalyan Reddy <kalyan.ben10@live.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "^0.28.1"
opensearch-py = "^2.0.0"
tiktoken = "^0.5.1"
[tool.poetr... | langchain/templates/rag-opensearch/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-opensearch/pyproject.toml",
"repo_id": "langchain",
"token_count": 312
} | 661 |
package allocator
import (
"go.uber.org/atomic"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
const (
defaultInitializedValue = 0
defaultDelta = 1
)
type AtomicAllocator struct {
now atomic.Int64
delta int64
}
type Option func(allocator *AtomicAllocator)
func WithInitializedValue(value int6... | milvus/cmd/tools/migration/allocator/atomic_allocator.go/0 | {
"file_path": "milvus/cmd/tools/migration/allocator/atomic_allocator.go",
"repo_id": "milvus",
"token_count": 372
} | 1,616 |
"""Retrieve query."""
import logging
from typing import Any, List, Optional
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.query.schema import QueryBundle
from llama_index.core.indices.tree.base import TreeIndex
f... | llama_index/llama-index-core/llama_index/core/indices/tree/tree_root_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/tree/tree_root_retriever.py",
"repo_id": "llama_index",
"token_count": 649
} | 1,269 |
extern crate tokenizers as tk;
use crate::models::Model;
use napi::bindgen_prelude::*;
use std::sync::{Arc, RwLock};
use tokenizers::models::bpe::{BpeBuilder, BPE};
use tokenizers::models::wordlevel::{WordLevel, WordLevelBuilder};
use tokenizers::models::wordpiece::{WordPiece, WordPieceBuilder};
pub struct BPEFromFil... | tokenizers/bindings/node/src/tasks/models.rs/0 | {
"file_path": "tokenizers/bindings/node/src/tasks/models.rs",
"repo_id": "tokenizers",
"token_count": 800
} | 458 |
from contextlib import contextmanager
from typing import Callable, Generator, Generic, Optional, Sequence, Type
from typing_extensions import Self
from langgraph.channels.base import BaseChannel, EmptyChannelError, Value
class BinaryOperatorAggregate(Generic[Value], BaseChannel[Value, Value, Value]):
"""Stores ... | langgraph/langgraph/channels/binop.py/0 | {
"file_path": "langgraph/langgraph/channels/binop.py",
"repo_id": "langgraph",
"token_count": 822
} | 1,017 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/test_pipelines_auto.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines_auto.py",
"repo_id": "diffusers",
"token_count": 6986
} | 285 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,712 |
from llama_index.embeddings.llm_rails.base import LLMRailsEmbedding, LLMRailsEmbeddings
__all__ = ["LLMRailsEmbedding", "LLMRailsEmbeddings"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/llama_index/embeddings/llm_rails/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/llama_index/embeddings/llm_rails/__init__.py",
"repo_id": "llama_index",
"token_count": 54
} | 1,318 |
"""Semantic Scholar API toolkit."""
| langchain/libs/community/langchain_community/tools/semanticscholar/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/semanticscholar/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 294 |
import logging
from abc import ABC, abstractmethod
from contextvars import ContextVar
from typing import Any, Dict, List, Optional
from llama_index.core.callbacks.schema import BASE_TRACE_EVENT, CBEventType
logger = logging.getLogger(__name__)
global_stack_trace = ContextVar("trace", default=[BASE_TRACE_EVENT])
cla... | llama_index/llama-index-core/llama_index/core/callbacks/base_handler.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/callbacks/base_handler.py",
"repo_id": "llama_index",
"token_count": 686
} | 1,179 |
"""Test EdenAiEmbeddings embeddings"""
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.embeddings import EdenAiEmbeddings
def test_api_key_is_string() -> None:
llm = EdenAiEmbeddings(edenai_api_key="secret-api-key")
assert isinstance(llm.edenai_api... | langchain/libs/community/tests/unit_tests/embeddings/test_edenai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_edenai.py",
"repo_id": "langchain",
"token_count": 237
} | 376 |
<jupyter_start><jupyter_text>MongoDB ReaderDemonstrates our MongoDB data connector<jupyter_code>%pip install llama-index-readers-mongodb
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))<jupyter_output><empty_ou... | llama_index/docs/examples/data_connectors/MongoDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/MongoDemo.ipynb",
"repo_id": "llama_index",
"token_count": 400
} | 1,094 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.steamship import SteamshipFileReader
def test_class():
names_of_base_classes = [b.__name__ for b in SteamshipFileReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-steamship/tests/test_readers_steamship.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-steamship/tests/test_readers_steamship.py",
"repo_id": "llama_index",
"token_count": 93
} | 1,437 |
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.retrievers.bm25.base import BM25Retriever
def test_class():
names_of_base_classes = [b.__name__ for b in BM25Retriever.__mro__]
assert BaseRetriever.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/tests/test_retrievers_bm25_retriever.py/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/tests/test_retrievers_bm25_retriever.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,484 |
kind: Schedule
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-rootcoord-pod-kill
namespace: chaos-testing
spec:
schedule: '*/5 * * * * *'
startingDeadlineSeconds: 60
concurrencyPolicy: Forbid
historyLimit: 1
type: PodChaos
podChaos:
selector:
namespaces:
- chaos-testing
... | milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_rootcoord_pod_kill.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_rootcoord_pod_kill.yaml",
"repo_id": "milvus",
"token_count": 222
} | 1,993 |
<jupyter_start><jupyter_text>Query Pipeline for Advanced Text-to-SQL In this guide we show you how to setup a text-to-SQL pipeline over your data with our [query pipeline](https://docs.llamaindex.ai/en/stable/module_guides/querying/pipeline/root.html) syntax.This gives you flexibility to enhance text-to-SQL with additi... | llama_index/docs/examples/pipeline/query_pipeline_sql.ipynb/0 | {
"file_path": "llama_index/docs/examples/pipeline/query_pipeline_sql.ipynb",
"repo_id": "llama_index",
"token_count": 8044
} | 1,074 |
from langchain_community.document_loaders.text import TextLoader
__all__ = ["TextLoader"]
| langchain/libs/langchain/langchain/document_loaders/text.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/text.py",
"repo_id": "langchain",
"token_count": 26
} | 539 |
<jupyter_start><jupyter_text>JiraThis notebook goes over how to use the `Jira` toolkit.The `Jira` toolkit allows agents to interact with a given Jira instance, performing actions such as searching for issues and creating issues, the tool wraps the atlassian-python-api library, for more see: https://atlassian-python-api... | langchain/docs/docs/integrations/toolkits/jira.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/jira.ipynb",
"repo_id": "langchain",
"token_count": 636
} | 178 |
import pytest
@pytest.fixture(scope="module")
def flash_starcoder_handle(launcher):
with launcher("bigcode/starcoder", num_shard=2) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_starcoder(flash_starcoder_handle):
await flash_starcoder_handle.health(300)
return flash_sta... | text-generation-inference/integration-tests/models/test_flash_starcoder.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_starcoder.py",
"repo_id": "text-generation-inference",
"token_count": 578
} | 400 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/balance/priority_queue_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/priority_queue_test.go",
"repo_id": "milvus",
"token_count": 1081
} | 1,825 |
# coding=utf-8
# Copyright 2021, The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | transformers/tests/models/mvp/test_modeling_mvp.py/0 | {
"file_path": "transformers/tests/models/mvp/test_modeling_mvp.py",
"repo_id": "transformers",
"token_count": 15265
} | 814 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.mondaydotcom import MondayReader
def test_class():
names_of_base_classes = [b.__name__ for b in MondayReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/tests/test_readers_mondaydotcom.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/tests/test_readers_mondaydotcom.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,489 |
package model
import (
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
type Segment struct {
SegmentID int64
CollectionID int64
PartitionID int64
NumRows int64
BinLogs []string
MemSize int64
DmChannel string
CompactionFrom [... | milvus/internal/metastore/model/segment.go/0 | {
"file_path": "milvus/internal/metastore/model/segment.go",
"repo_id": "milvus",
"token_count": 244
} | 1,945 |
from typing import List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class PsychicLoader(BaseLoader):
"""Load from `Psychic.dev`."""
def __init__(
self, api_key: str, account_id: str, connector_id: Optional[str] = None
... | langchain/libs/community/langchain_community/document_loaders/psychic.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/psychic.py",
"repo_id": "langchain",
"token_count": 604
} | 246 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/realm/test_modeling_realm.py/0 | {
"file_path": "transformers/tests/models/realm/test_modeling_realm.py",
"repo_id": "transformers",
"token_count": 9513
} | 731 |
import type { Message } from "$lib/types/Message";
import { getContext, setContext } from "svelte";
import { writable, type Writable } from "svelte/store";
// used to store the id of the message that is the currently displayed leaf of the conversation tree
// (that is the last message in the current branch of the conv... | chat-ui/src/lib/stores/convTree.ts/0 | {
"file_path": "chat-ui/src/lib/stores/convTree.ts",
"repo_id": "chat-ui",
"token_count": 216
} | 108 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,416 |
[
{
"server": "athena",
"suite_params": [
{
"suite": "080_gpu_accuracy.yaml",
"image_type": "gpu"
},
{
"suite": "080_search_stability.yaml",
"image_type": "gpu"
},
{
... | milvus/tests/benchmark/milvus_benchmark/scheduler/010_data.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/010_data.json",
"repo_id": "milvus",
"token_count": 1116
} | 1,857 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,623 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { RetrievalQAChain, loadQAStuffChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
import { PromptTem... | langchainjs/examples/src/chains/retrieval_qa_custom_prompt_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/retrieval_qa_custom_prompt_legacy.ts",
"repo_id": "langchainjs",
"token_count": 455
} | 791 |
<jupyter_start><jupyter_text>Airbyte Question AnsweringThis notebook shows how to do question answering over structured data, in this case using the `AirbyteStripeLoader`.Vectorstores often have a hard time answering questions that requires computing, grouping and filtering structured data so the high level idea is to ... | langchain/docs/docs/integrations/toolkits/airbyte_structured_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/airbyte_structured_qa.ipynb",
"repo_id": "langchain",
"token_count": 581
} | 167 |
import pytest
from datasets.utils.version import Version
@pytest.mark.parametrize(
"other, expected_equality",
[
(Version("1.0.0"), True),
("1.0.0", True),
(Version("2.0.0"), False),
("2.0.0", False),
("1", False),
("a", False),
(1, False),
(Non... | datasets/tests/test_version.py/0 | {
"file_path": "datasets/tests/test_version.py",
"repo_id": "datasets",
"token_count": 254
} | 151 |
---
sidebar_label: Alibaba Tongyi
---
import CodeBlock from "@theme/CodeBlock";
# ChatAlibabaTongyi
LangChain.js supports the Alibaba qwen family of models.
## Setup
You'll need to sign up for an Alibaba API key and set it as an environment variable named `ALIBABA_API_KEY`
## Usage
Here's an example:
import Ton... | langchainjs/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx",
"repo_id": "langchainjs",
"token_count": 140
} | 721 |
<jupyter_start><jupyter_text>Basic Critique-ReviseYou can also run this notebook online [on Noteable.io](https://app.noteable.io/published/41cf4f55-bd8c-4b7f-b3d4-547d5e601960/basic_critique_revise).This is an basic example of correcting an LLM's output using a pattern called critique-revise, where we highlight what pa... | langchainjs/cookbook/basic_critique_revise.ipynb/0 | {
"file_path": "langchainjs/cookbook/basic_critique_revise.ipynb",
"repo_id": "langchainjs",
"token_count": 2323
} | 686 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/binlog_iterator.go/0 | {
"file_path": "milvus/internal/storage/binlog_iterator.go",
"repo_id": "milvus",
"token_count": 4049
} | 1,868 |
import {
MaskingParser,
RegexMaskingTransformer,
} from "langchain/experimental/masking";
// Define masking strategy
const emailMask = () => `[email-${Math.random().toString(16).slice(2)}]`;
const phoneMask = () => `[phone-${Math.random().toString(16).slice(2)}]`;
// Configure pii transformer
const piiMaskingTran... | langchainjs/examples/src/experimental/masking/basic.ts/0 | {
"file_path": "langchainjs/examples/src/experimental/masking/basic.ts",
"repo_id": "langchainjs",
"token_count": 393
} | 772 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/it/multilingual.md/0 | {
"file_path": "transformers/docs/source/it/multilingual.md",
"repo_id": "transformers",
"token_count": 3144
} | 539 |
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import Ba... | langchain/templates/hyde/hyde/chain.py/0 | {
"file_path": "langchain/templates/hyde/hyde/chain.py",
"repo_id": "langchain",
"token_count": 785
} | 657 |
__all__ = [
"BaseTracer",
"EvaluatorCallbackHandler",
"LangChainTracer",
"ConsoleCallbackHandler",
"Run",
"RunLog",
"RunLogPatch",
"LogStreamCallbackHandler",
]
from langchain_core.tracers.base import BaseTracer
from langchain_core.tracers.evaluation import EvaluatorCallbackHandler
from... | langchain/libs/core/langchain_core/tracers/__init__.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/__init__.py",
"repo_id": "langchain",
"token_count": 206
} | 398 |
"""Test Xinference embeddings."""
import time
from typing import AsyncGenerator, Tuple
import pytest_asyncio
from langchain_community.embeddings import XinferenceEmbeddings
@pytest_asyncio.fixture
async def setup() -> AsyncGenerator[Tuple[str, str], None]:
import xoscar as xo
from xinference.deploy.supervi... | langchain/libs/community/tests/integration_tests/embeddings/test_xinference.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_xinference.py",
"repo_id": "langchain",
"token_count": 835
} | 352 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["GradioReActAgentPack"]
contains_example = false
import_path = "llama_index.packs.gradio_r... | llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml",
"repo_id": "llama_index",
"token_count": 722
} | 1,588 |
package writebuffer
import (
"context"
"fmt"
"sync"
"github.com/bits-and-blooms/bloom/v3"
"github.com/cockroachdb/errors"
"github.com/samber/lo"
"go.uber.org/atomic"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/mil... | milvus/internal/datanode/writebuffer/write_buffer.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/write_buffer.go",
"repo_id": "milvus",
"token_count": 7092
} | 1,785 |
## Demo in node
1. `yarn dev`
2. visit `localhost:3000`
| chroma/clients/js/examples/node/README.md/0 | {
"file_path": "chroma/clients/js/examples/node/README.md",
"repo_id": "chroma",
"token_count": 23
} | 30 |
package tasks
import (
"container/ring"
"time"
)
func newMergeTaskQueue(group string) *mergeTaskQueue {
return &mergeTaskQueue{
name: group,
tasks: make([]Task, 0),
cleanupTimestamp: time.Now(),
}
}
type mergeTaskQueue struct {
name string
tasks []Task
clean... | milvus/internal/querynodev2/tasks/queues.go/0 | {
"file_path": "milvus/internal/querynodev2/tasks/queues.go",
"repo_id": "milvus",
"token_count": 1907
} | 1,779 |
poetry_requirements(
name="poetry",
)
python_sources(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/BUILD",
"repo_id": "llama_index",
"token_count": 55
} | 1,401 |
# LlamaIndex Vector_Stores Integration: Azure AI Search
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,512 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/esm/test_modeling_esmfold.py/0 | {
"file_path": "transformers/tests/models/esm/test_modeling_esmfold.py",
"repo_id": "transformers",
"token_count": 4347
} | 784 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_utils/AssertUtils.h/0 | {
"file_path": "milvus/internal/core/unittest/test_utils/AssertUtils.h",
"repo_id": "milvus",
"token_count": 2856
} | 1,759 |
<jupyter_start><jupyter_text>Run Dreambooth fine-tuned models for Stable Diffusion using d🧨ffusers This notebook allows you to run Stable Diffusion concepts trained via Dreambooth using 🤗 Hugging Face [🧨 Diffusers library](https://github.com/huggingface/diffusers). Train your own using [here]() and navigate the [pub... | notebooks/diffusers/sd_dreambooth_inference.ipynb/0 | {
"file_path": "notebooks/diffusers/sd_dreambooth_inference.ipynb",
"repo_id": "notebooks",
"token_count": 1238
} | 297 |
"""Util that calls Merriam-Webster."""
import json
from typing import Dict, Iterator, List, Optional
from urllib.parse import quote
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
MERRIAM_WEBSTER_API_URL = (
"https://www... | langchain/libs/community/langchain_community/utilities/merriam_webster.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/merriam_webster.py",
"repo_id": "langchain",
"token_count": 1568
} | 300 |
"""
Utility Tools for the Portkey Class.
This file module contains a collection of utility functions designed to enhance
the functionality and usability of the Portkey class
"""
from typing import TYPE_CHECKING, List
from llama_index.legacy.core.llms.types import LLMMetadata
from llama_index.legacy.llms.anthropic im... | llama_index/llama-index-legacy/llama_index/legacy/llms/portkey_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/portkey_utils.py",
"repo_id": "llama_index",
"token_count": 1903
} | 1,683 |
<jupyter_start><jupyter_text>Bagel Vector Store If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-bagel
!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getL... | llama_index/docs/examples/vector_stores/BagelAutoRetriever.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/BagelAutoRetriever.ipynb",
"repo_id": "llama_index",
"token_count": 1599
} | 1,130 |
# Papers Loaders
## Arxiv Papers Loader
This loader fetchs the text from the most relevant scientific papers on Arxiv specified by a search query (e.g. "Artificial Intelligence"). For each paper, the abstract is extracted and put in a separate document. The search query may be any string, Arxiv paper id, or a general... | llama_index/llama-index-integrations/readers/llama-index-readers-papers/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-papers/README.md",
"repo_id": "llama_index",
"token_count": 708
} | 1,440 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["AirbyteCDKReader"]
contains_example = false
import_path = "llama_index.readers.airbyte_cd... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml",
"repo_id": "llama_index",
"token_count": 653
} | 1,364 |
# Installation
<tokenizerslangcontent>
<python>
🤗 Tokenizers is tested on Python 3.5+.
You should install 🤗 Tokenizers in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're
unfamiliar with Python virtual environments, check out the [user
guide](https://packaging.python.org/guides/instal... | tokenizers/docs/source-doc-builder/installation.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/installation.mdx",
"repo_id": "tokenizers",
"token_count": 554
} | 430 |
# What is RL? A short recap [[what-is-rl]]
In RL, we build an agent that can **make smart decisions**. For instance, an agent that **learns to play a video game.** Or a trading agent that **learns to maximize its benefits** by deciding on **what stocks to buy and when to sell.**
<img src="https://huggingface.co/datas... | deep-rl-class/units/en/unit2/what-is-rl.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/what-is-rl.mdx",
"repo_id": "deep-rl-class",
"token_count": 525
} | 158 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/tracer/tracer.go/0 | {
"file_path": "milvus/pkg/tracer/tracer.go",
"repo_id": "milvus",
"token_count": 1032
} | 1,895 |
import torch
import torch.distributed
from typing import Optional, List
from transformers import AutoTokenizer, AutoModelForCausalLM
from text_generation_server.models import CausalLM
FIM_PREFIX = "<fim-prefix>"
FIM_MIDDLE = "<fim-middle>"
FIM_SUFFIX = "<fim-suffix>"
FIM_PAD = "<fim-pad>"
EOD = "<|endoftext|>"
cla... | text-generation-inference/server/text_generation_server/models/santacoder.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/santacoder.py",
"repo_id": "text-generation-inference",
"token_count": 1176
} | 405 |
# LlamaIndex Embeddings Integration: Huggingface Optimum Intel
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/README.md",
"repo_id": "llama_index",
"token_count": 16
} | 1,242 |
from ..utils import deprecate
from .transformers.prior_transformer import PriorTransformer, PriorTransformerOutput
class PriorTransformerOutput(PriorTransformerOutput):
deprecation_message = "Importing `PriorTransformerOutput` from `diffusers.models.prior_transformer` is deprecated and this will be removed in a f... | diffusers/src/diffusers/models/prior_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/prior_transformer.py",
"repo_id": "diffusers",
"token_count": 235
} | 232 |
---
sidebar_position: 3
title: Querying a SQL DB
hide_table_of_contents: true
---
# Querying a SQL DB
We can replicate our SQLDatabaseChain with Runnables.
## Setup
We'll need the Chinook sample DB for this example.
First install `typeorm`:
```bash npm2yarn
npm install typeorm
```
Then install the dependencies n... | langchainjs/docs/core_docs/docs/expression_language/cookbook/sql_db.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/cookbook/sql_db.mdx",
"repo_id": "langchainjs",
"token_count": 310
} | 768 |
export const PREFIX = `Answer the following questions as best you can. You have access to the following tools:`;
export const FORMAT_INSTRUCTIONS = `The way you use the tools is by specifying a json blob, denoted below by $JSON_BLOB
Specifically, this $JSON_BLOB should have a "action" key (with the name of the tool to ... | langchainjs/langchain/src/agents/chat/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/chat/prompt.ts",
"repo_id": "langchainjs",
"token_count": 315
} | 877 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutilv2/numpy/reader_test.go/0 | {
"file_path": "milvus/internal/util/importutilv2/numpy/reader_test.go",
"repo_id": "milvus",
"token_count": 4508
} | 1,940 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/cvt/convert_cvt_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/cvt/convert_cvt_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 6355
} | 666 |
<jupyter_start><jupyter_text>Manipulation de plusieurs séquences (TensorFlow) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
import tensorflow as tf
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
checkpoint = ... | notebooks/course/fr/chapter2/section5_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section5_tf.ipynb",
"repo_id": "notebooks",
"token_count": 810
} | 310 |
"""Utility code for runnables."""
from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
Name... | langchain/libs/core/langchain_core/runnables/utils.py/0 | {
"file_path": "langchain/libs/core/langchain_core/runnables/utils.py",
"repo_id": "langchain",
"token_count": 6420
} | 423 |
import math
import torch
from typing import Optional, List, Tuple
BLOCK_SIZE: int = 16
# Will be set in warmup
CACHE_MANAGER: Optional["CacheManager"] = None
class CacheManager:
def __init__(
self,
num_blocks: int,
num_layers: int,
num_heads: int,
head_size: int,
... | text-generation-inference/server/text_generation_server/models/cache_manager.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/cache_manager.py",
"repo_id": "text-generation-inference",
"token_count": 2033
} | 413 |
// Original source: https://github.com/whitlockjc/json-refs/blob/master/dist/json-refs-min.js
export const JsonRefs = (function (t) {
var n = {};
function r(e) {
if (n[e]) return n[e].exports;
var o = (n[e] = { i: e, l: !1, exports: {} });
return t[e].call(o.exports, o, o.exports, r), (o.l = !0), o.exp... | langserve/langserve/playground/src/utils/json-refs.js/0 | {
"file_path": "langserve/langserve/playground/src/utils/json-refs.js",
"repo_id": "langserve",
"token_count": 235354
} | 1,032 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-localai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-localai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,360 |
import os
import pytest
from tokenizers import SentencePieceBPETokenizer, SentencePieceUnigramTokenizer
class TestSentencePieceBPE:
def test_train_from_iterator(self):
text = ["A first sentence", "Another sentence", "And a last one"]
tokenizer = SentencePieceBPETokenizer()
tokenizer.trai... | tokenizers/bindings/python/tests/implementations/test_sentencepiece.py/0 | {
"file_path": "tokenizers/bindings/python/tests/implementations/test_sentencepiece.py",
"repo_id": "tokenizers",
"token_count": 1122
} | 465 |
[package]
name = "candle-nn"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[dependencies]
accelerate-src = { workspace = true, optional = true }
candle = { wo... | candle/candle-nn/Cargo.toml/0 | {
"file_path": "candle/candle-nn/Cargo.toml",
"repo_id": "candle",
"token_count": 325
} | 62 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-stripe-docs/llama_index/readers/stripe_docs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-stripe-docs/llama_index/readers/stripe_docs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,449 |
from llama_index.readers.mondaydotcom.base import MondayReader
__all__ = ["MondayReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,432 |
export * from "./chat_models.js";
export * from "./llms.js";
export * from "./embeddings.js";
| langchainjs/libs/langchain-yandex/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-yandex/src/index.ts",
"repo_id": "langchainjs",
"token_count": 35
} | 1,070 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/meta/target.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/target.go",
"repo_id": "milvus",
"token_count": 803
} | 1,756 |
# Aleph Alpha
>[Aleph Alpha](https://docs.aleph-alpha.com/) was founded in 2019 with the mission to research and build the foundational technology for an era of strong AI. The team of international scientists, engineers, and innovators researches, develops, and deploys transformative AI like large language and multimo... | langchain/docs/docs/integrations/providers/aleph_alpha.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/aleph_alpha.mdx",
"repo_id": "langchain",
"token_count": 337
} | 125 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/eventlog/grpc_test.go/0 | {
"file_path": "milvus/pkg/eventlog/grpc_test.go",
"repo_id": "milvus",
"token_count": 1818
} | 1,913 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "schema/retriever",
newEntrypointName: "retrievers",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/retrievers";
| langchainjs/langchain/src/schema/retriever.ts/0 | {
"file_path": "langchainjs/langchain/src/schema/retriever.ts",
"repo_id": "langchainjs",
"token_count": 96
} | 948 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use candle::{DType, IndexOp, D};
use candle_nn::{Module, VarBuilder};
use candle_transformers::models::convnext;
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
At... | candle/candle-examples/examples/convnext/main.rs/0 | {
"file_path": "candle/candle-examples/examples/convnext/main.rs",
"repo_id": "candle",
"token_count": 1919
} | 42 |
#include <metal_stdlib>
using namespace metal;
#define MAX(x, y) ((x) > (y) ? (x) : (y))
#define MIN(x, y) ((x) < (y) ? (x) : (y))
#define SWAP(x, y) { auto tmp = (x); (x) = (y); (y) = tmp; }
#define QK4_0 32
#define QR4_0 2
typedef struct {
half d; // delta
uint8_t qs[QK4_0 / 2]; // nibbles /... | candle/candle-metal-kernels/src/quantized.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/quantized.metal",
"repo_id": "candle",
"token_count": 97268
} | 65 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_array.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_array.cpp",
"repo_id": "milvus",
"token_count": 5143
} | 1,674 |
from llama_index.core.llms import ChatMessage
from llama_index.core.storage.chat_store import SimpleChatStore
def test_add_messages() -> None:
"""Test adding messages to a chat store."""
chat_store = SimpleChatStore()
chat_store.add_message("user1", ChatMessage(role="user", content="hello"))
chat_sto... | llama_index/llama-index-core/tests/storage/chat_store/test_simple_chat_store.py/0 | {
"file_path": "llama_index/llama-index-core/tests/storage/chat_store/test_simple_chat_store.py",
"repo_id": "llama_index",
"token_count": 989
} | 1,327 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["GmailReader", "GoogleCalendarReader", "GoogleDocsReader", "GoogleDriveReader", "GoogleKee... | llama_index/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml",
"repo_id": "llama_index",
"token_count": 790
} | 1,408 |
import json
import pytest
from langchain_core.agents import AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain_core.messages import AIMessage, SystemMessage
from langchain.agents.openai_functions_multi_agent.base import (
_FunctionsAgentAction,
_parse_ai_message,
)
# Test... | langchain/libs/langchain/tests/unit_tests/agents/test_openai_functions_multi.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_openai_functions_multi.py",
"repo_id": "langchain",
"token_count": 1341
} | 619 |
import { Example, Run, ScoreType, ValueType } from "../schemas.js";
import { EvaluationResult, RunEvaluator } from "./evaluator.js";
export interface GradingFunctionResult {
key?: string;
score?: ScoreType;
value?: ValueType;
comment?: string;
correction?: Record<string, unknown>;
}
export interface Grading... | langsmith-sdk/js/src/evaluation/string_evaluator.ts/0 | {
"file_path": "langsmith-sdk/js/src/evaluation/string_evaluator.ts",
"repo_id": "langsmith-sdk",
"token_count": 667
} | 1,026 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,859 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/deprecated/mctct/processing_mctct.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/mctct/processing_mctct.py",
"repo_id": "transformers",
"token_count": 2272
} | 645 |
import pytest
import torch
from transformers import AutoTokenizer
from text_generation_server.models import Model
def get_test_model():
class TestModel(Model):
def batch_type(self):
raise NotImplementedError
def generate_token(self, batch):
raise NotImplementedError
... | text-generation-inference/server/tests/models/test_model.py/0 | {
"file_path": "text-generation-inference/server/tests/models/test_model.py",
"repo_id": "text-generation-inference",
"token_count": 829
} | 400 |
"""Simple reader for mbox (mailbox) files."""
import os
from pathlib import Path
from typing import Any, List
from llama_index.core.readers.base import BaseReader
from llama_index.readers.file import MboxReader as MboxFileReader
from llama_index.core.schema import Document
class MboxReader(BaseReader):
"""Mbox ... | llama_index/llama-index-integrations/readers/llama-index-readers-mbox/llama_index/readers/mbox/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mbox/llama_index/readers/mbox/base.py",
"repo_id": "llama_index",
"token_count": 511
} | 1,425 |
package allocator
import (
"sync"
"testing"
"github.com/stretchr/testify/assert"
)
func TestAtomicAllocator_AllocID(t *testing.T) {
n := 100
alloc := NewAllocator()
wg := &sync.WaitGroup{}
for i := 0; i < n; i++ {
wg.Add(1)
go func() {
defer wg.Done()
_, err := alloc.AllocID()
assert.NoError(t, e... | milvus/cmd/tools/migration/allocator/atomic_allocator_test.go/0 | {
"file_path": "milvus/cmd/tools/migration/allocator/atomic_allocator_test.go",
"repo_id": "milvus",
"token_count": 216
} | 1,895 |
.. _Ref-Response:
Response
=================
.. automodule:: llama_index.core.base.response.schema
:members:
:inherited-members:
| llama_index/docs/api_reference/response.rst/0 | {
"file_path": "llama_index/docs/api_reference/response.rst",
"repo_id": "llama_index",
"token_count": 49
} | 1,085 |
from typing import Dict, Type
from llama_index.core.node_parser.file.html import HTMLNodeParser
from llama_index.core.node_parser.file.json import JSONNodeParser
from llama_index.core.node_parser.file.markdown import MarkdownNodeParser
from llama_index.core.node_parser.file.simple_file import SimpleFileNodeParser
from... | llama_index/llama-index-core/llama_index/core/node_parser/loading.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/loading.py",
"repo_id": "llama_index",
"token_count": 593
} | 1,231 |
import logging
from typing import Any, Iterator, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.news import NewsURLLoader
logger = logging.getLogger(__name__)
class RSSFeedLoader(BaseL... | langchain/libs/community/langchain_community/document_loaders/rss.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/rss.py",
"repo_id": "langchain",
"token_count": 2320
} | 261 |
<jupyter_start><jupyter_text>Pinecone Vector Store If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-pinecone
!pip install llama-index>=0.9.31 pinecone-client>=3.0.0
import logging
import sys
import os
logging.basicConfig(stre... | llama_index/docs/examples/vector_stores/PineconeIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/PineconeIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1052
} | 1,084 |
import { updateEntrypointsFrom0_0_xTo0_1_x } from "@langchain/scripts/migrations";
await updateEntrypointsFrom0_0_xTo0_1_x({
// Path to the local langchainjs repository
localLangChainPath: "/Users/my-profile/langchainjs",
// Path to the repository where the migration should be applied
codePath: "/Users/my-prof... | langchainjs/examples/src/guides/migrating.ts/0 | {
"file_path": "langchainjs/examples/src/guides/migrating.ts",
"repo_id": "langchainjs",
"token_count": 113
} | 869 |
package writebuffer
import (
"fmt"
"math/rand"
"testing"
"time"
"github.com/samber/lo"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus-proto/go-api/... | milvus/internal/datanode/writebuffer/l0_write_buffer_test.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/l0_write_buffer_test.go",
"repo_id": "milvus",
"token_count": 3827
} | 1,794 |
# LlamaIndex Vector_Stores Integration: Astra
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,508 |
use metal::{
Buffer, CommandBufferRef, CompileOptions, ComputeCommandEncoderRef, ComputePipelineState,
Device, Function, FunctionConstantValues, Library, MTLDataType, MTLSize, NSUInteger,
};
use std::collections::HashMap;
use std::ffi::c_void;
use std::sync::RwLock;
const AFFINE: &str = include_str!("affine.me... | candle/candle-metal-kernels/src/lib.rs/0 | {
"file_path": "candle/candle-metal-kernels/src/lib.rs",
"repo_id": "candle",
"token_count": 25096
} | 53 |
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